Computing at LLNL
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At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment

News

Recent Tweet

Yong and Kathryn


Source: LLNL News

Two LLNL scientists honored as 2022 Oppenheimer Science and Energy Leadership fellows

The Oppenheimer Science and Energy Leadership Program (OSELP) has selected LLNL computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows.

Awards | Careers

portrait of Peter on dark background


Source: Department of Energy

Peter Lindstrom: Then and now, 2011 Early Career Award winner

The Department of Energy's Office of Science interviewed LLNL computer scientist Peter Lindstrom about his work since receiving the 2011 Early Career Award.

Awards | Careers | Data Compression | Data Science | Open-Source Software

2022 Glassdoor logo with collage of people


Source: LLNL News

LLNL makes Glassdoor’s 2022 ‘Best Places to Work’ list

For the fourth consecutive year, LLNL has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2022.

Careers

Highlights

Featured Employee
Rachael climbing a rock face

Rachael Lemos

Rachael Lemos is a software developer in Computing’s Applications, Simulations, & Quality Division, or ASQ. She’s a great example of the Lab’s student success, as she was a summer intern…

Featured Project
simulation of spike proteins and targets in different colors

COVID-19 R&D

From molecular screening, a software platform, and an online data to the computing systems that power these projects.

Featured Jobs
Ian and Angela looking at her poster at the 2019 symposium

Student Internships

We offer undergraduate and graduate students the opportunity to gain research experience and work with laboratory science and engineering mentors through our internship program. A considerable portion of students plan to return for another summer based on their experience here.

Careers

Glassdoor Offical Logo 2020

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.